I recently submitted my PhD at UNSW & the Garvan Institute of Medical Research. My research uses quantitative single-cell imaging to answer two key questions:
- 1. How do signalling pathways regulate cancer cell states?
- 2. How does pre-existing cell state diversity shape signalling?
Over the past 5 years, I've led and supported projects spanning fundamental cancer biology, translational research, and computational tool development:
- Cancer cell states predetermine signalling responses (Mol. Biol. Cell 2026)
- Deep learning for virtual multiplexing from standard 4ch imaging (Nat. Commun. 2025)
- Copper chelation blocks EMT metastasis in cancer (Cell Biosci. 2023)
- Generative AI for virtual multiplexing by unmixing fluorescence channels (bioRxiv 2025)
- Deep multiplexed imaging of circulating tumour cells for precision oncology (bioRxiv 2025)
- Targeting cancer cell plasticity to suppress metastasis and therapy resistance (medRxiv 2022)
Deep multiplexed imaging
High-throughput lab automation
Single-cell bioinformatics
Interactive analytics and dashboards
I like sharing science in different ways, through writing and through conversation. I've written blog posts on microscopy, cell biology, and scientific communication, and I co-hosted ResearchBytes, a podcast created to explore researchers' stories and make complex science more accessible.
Selected writing
- Cell Painting: Form and function, computed at scale (2025) - on how cellular morphology can be mined for drug discovery.
- A beginner's guide to creating fluorescence bioimages for scientific publication (2022)
Selected conversations
- Village models for scaling pluripotent stem experiments - Trevor Atkeson (2024)
- Systematic ichthyology on the coral reef - Dr Yi-Kai Tea (2023)
- Restorative benefits of natural scene statistics - Chelle Roberts (2022)
- Paleovirology in Australian marsupials - Emma Harding (2022)
I'm now seeking US-based roles at the intersection of personalised medicine, data science, and strategy.